|
|
|
|
|
Xuefei Ma, Waleed Raza, Zhiqiang Wu, Muhammad Bilal, Ziqi Zhou and Amir Ali
Machine learning and deep learning algorithms have proved to be a powerful tool for developing data-driven signal processing algorithms for challenging engineering problems. This paper studies the modern machine learning algorithm for modeling nonlinear ...
ver más
|
|
|
|
|
|
|
|
|
Brahim Bakkas, Reda Benkhouya, Idriss Chana and Hussain Ben-Azza
Orthogonal frequency division multiplexing (OFDM) is the key technology used in high-speed communication systems. One of the major drawbacks of OFDM systems is the high peak-to-average power ratio (PAPR) of the transmitted signal. The transmitted signal ...
ver más
|
|
|
|
|
|
|
|
|
Bo Tang, Kaiyu Qin, Changwei Chen and Yong Cao
Orthogonal frequency division multiplexing (OFDM) is a widely used technology for wireless broadband communications. However, it also suffers from some drawbacks. One of the critical limitations is the problem of high peak-to-average power ratio (PAPR), ...
ver más
|
|
|
|
|
|
|
|
|
Junfang Li, Mingqian Liu, Ningjie Tang and Bodong Shang
Signal-to-noise ratio (SNR) estimation is essential in the unmanned aerial vehicle (UAV) orthogonal frequency division multiplexing (OFDM) system for getting accurate channel estimation. In this paper, we propose a novel non-data-aided (NDA) SNR estimati...
ver más
|
|
|
|
|
|
|
|
|
Funmilayo B. Offiong, Sinan Sinanovic and Wasiu O. Popoola
Efficient frame synchronization is essential for data recovery in communication systems. In this study, a single pilot sequence is used to achieve both frame synchronization and peak-to-average power ratio (PAPR) reduction. The two systems considered are...
ver más
|
|
|
|